Causal inference approaches for dealing with time-dependent confounding in longitudinal studies, with applications to multiple sclerosis research
Marginal structural Cox models (MSCMs) have gained popularity in analyzing longitudinal data in the presence of 'time-dependent confounding', primarily in the context of HIV/AIDS and related conditions. This thesis is motivated by issues arising in connection with dealing with time-depende...
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| Language: | English |
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University of British Columbia
2015
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| Online Access: | http://hdl.handle.net/2429/51933 |